Events

A full understanding of the development of the brain's functional network architecture requires not only an understanding of developmental changes in neural processing in individual brain regions but also an understanding of changes in inter-regional interactions. Resting state functional connectivity MRI (rs-fcMRI) is increasingly being used to study functional interactions between brain regions in both adults and children. In this presentation we will briefly review methods used to study functional interactions and networks with rs-fcMRI and how these methods have been used to define developmental changes in network functional connectivity. The implementation of multivariate pattern analysis methods using support vector machine classification and regression has allowed us to make predictions about the maturity of the brain's functional network architecture in individuals. The implications of these approaches for understanding typical and atypical development of the brain's functional network architecture will be discussed.